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Hits 1 – 20 of 37

1	Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation
	Allison, Timothy B; Herceg, Paul M
	In: DTIC (2015)
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2	Relevance Feedback based on Constrained Clustering: FDU at TREC 09
	Wang, Bingqing; Huang, Xuanjing
	In: DTIC (2009)
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3	A Journey in Entity Related Retrieval for TREC 2009
	Pamarthi, Jagadish; Zhou, Guangxu; Bayrak, Coskun
	In: DTIC (2009)
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4	Lucene for n-grams using the ClueWeb Collection
	Newby, Gregory B.; Fallen, Chris; McCormick, Kylie
	In: DTIC (2009)
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5	BIT at TREC 2009 Faceted Blog Distillation Task
	Jiang, Peng; Yang, Qing; Zhang, Chunxia...
	In: DTIC (2009)
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6	IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
	Dincer, Bekir T.; Kocabase, Ilker; Karaoglan, Bahar
	In: DTIC (2009)
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7	POSTECH at TREC 2009 Blog Track: Top Stories Identification
	Lee, Yeha; Jung, Hun-young; Song, Woosang...
	In: DTIC (2009)
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8	PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
	Li, Si; Li, Xinsheng; Zhang, Hao...
	In: DTIC (2009)
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9	Novel Topic Impact on Authorship Attribution
	Caver, Johnnie F.
	In: DTIC (2009)
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10	Experiments on Related Entity Finding Track at TREC 2009
	Yang, Qing; Jiang, Peng; Zhang, Chunxia...
	In: DTIC (2009)
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11	Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
	Lex, Elisabeth; Granitzer, Michael; Juffinger, Andreas
	In: DTIC (2009)
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12	Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
	Dzikovska, Myroslave O.; Allen, James F.; Swift, Mary D.
	In: DTIC (2007)
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13	A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
	Herceg, Paul M.; Ball, Catherine N.
	In: DTIC (2006)
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14	Criteria for Appraising Computer-Based Simulations for Teaching Arabic as a Foreign Language
	Dabrowski, Richard
	In: DTIC AND NTIS (2005)
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15	Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
	Evens, Martha W.
	In: DTIC AND NTIS (2003)
	Abstract: This grant supported the writing of a book on the author's experiments in human and computer tutoring and enabled the running of one last experiment with the CIRCSIM-Tutor system, Version 2.9. The experiment compared the learning gains made by medical students using the CIRCSIM-Tutor system with those made by students reading a carefully edited relevant text. The experiment was suggested at a meeting of ONR Grantees in the tutoring portion of the Cognitive Science Program. The author carried out this experiment in November 2002. It showed, as she had hoped, that the 40 students who used CIRCSIM-Tutor for an hour made significantly greater learning gains than the 33 who read a carefully chosen and edited text. What is more, over 80% of the CIRCSIM-Tutor students completed all eight problems as opposed to 60% in the experiment in November 1999. The system did not crash. It corrected 104 spelling errors without making any identifiable miscorrections, and it did not get caught up in any of the confusions that turned up in earlier experiments. The students expressed enthusiasm about the tutor. None of them felt compelled to curse the system, as had happened in the past. The author would like to believe that this was because it was less frustrating to use, but it may just have been due to the number of observers present. This report describes the results of the experiment, gives a more detailed description of the natural language understanding results, and summarizes some of the author's other current research. A bibliography of 14 publications is included. ; Originally funded under BAA-02-001 Long-Range Scientific and Technology Program.
	Keyword: CIRCSIM TUTOR COMPUTER PROGRAM; COMPUTER AIDED INSTRUCTION; EXPERT SYSTEMS; INTELLIGENT TUTORING SYSTEMS; INTERACTIVE LEARNING; NATURAL LANGUAGE; ANALOGIES; ATTITUDES(PSYCHOLOGY); Computer Programming and Software; CONTEXT SENSITIVE GRAMMARS; Cybernetics; ERROR CORRECTION CODES; ERROR DETECTION CODES; ERROR MESSAGES; FRUSTRATION; GASP TUTOR COMPUTER PROGRAM; HEDGES; HEDGING; Humanities and History; LANGUAGE UNDERSTANDING; LEARNING; Linguistics; MAN COMPUTER INTERFACE; NATURAL LANGUAGE INTERFACES; OPEN ENDED QUESTIONS; PARSERS; PERFORMANCE(HUMAN); SPELLING CORRECTION SYSTEMS; TEST AND EVALUATION
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA419483 http://www.dtic.mil/docs/citations/ADA419483
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16	A Survey of Current Paradigms in Machine Translation
	Dorr, Bonnie J.; Jordan, Pamela W.; Benoit, John W.
	In: DTIC (1998)
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17	Focus of Tipster Phases I and 2
	Altomari, Patrick J; Currier, Patricia A
	In: DTIC (1996)
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18	TMSS Parsing Test, MIL-M-9977J, Appendix G, Loading Procedures Checklists.
	In: DTIC AND NTIS (1994)
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19	Eucalyptus: Integrating Natural Language Input with a Graphical User Interface
	Wauchope, Kenneth
	In: DTIC AND NTIS (1994)
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20	MIL-M-9977J, Appendix E, Integrated Combat Turnaround Procedures, Document Type Definition, MAXIMA Corporation.
	Lammers, Gary; Lammers, Mel
	In: DTIC AND NTIS (1994)
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